numpy.random.poisson() in Python
Last Updated :
15 Jul, 2020
With the help of numpy.random.poisson() method, we can get the random samples from poisson distribution and return the random samples by using this method.
poisson distribution
Syntax : numpy.random.poisson(lam=1.0, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using this numpy.random.poisson() method, we are able to get the random samples from poisson distribution by using this method.
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.poisson( 10 , 1000 )
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
Example #2 :
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.poisson( 4.5 , 500 )
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
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